The topic of this full-day tutorial was the correct use and interpretation of case studies as an empirical research method. Using an equal blend of lecture and discussion, it gave...
Dewayne E. Perry, Susan Elliott Sim, Steve M. East...
We propose a new rule induction algorithm for solving classification problems via probability estimation. The main advantage of decision rules is their simplicity and good interp...
Abstract. We present a new constraint system called INES. Its constraints are conjunctions of inclusions t1 t2 between rst-order terms (without set operators) which are interpreted...
In this paper, we apply weighted ridge regression to tackle the highly unbalanced data issue in automatic largescale ICD-9 coding of medical patient records. Since most of the ICD...
This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...